Defining Binning Properties

  1. Under Primary Stages > Deployed Stages > Machine Learning, click the Binning stage and drag it onto the canvas, placing it where you want on the dataflow and connecting it to other stages.
    Note: The input stage must be the data source that contains both the objective and input variable fields for your model. An output stage is not required unless you select the Score input data option on the Basic Options tab. You may also connect an output stage if you wish to capture your output independent of the Machine Learning Model Management tool.
  2. Double-click the Binning stage to show the Binning Options dialog box.
  3. Enter a Binning name if you do not want to use the default name.
  4. Check the Overwrite box to overwrite the existing model with new data.
  5. Enter a Description of the model.
  6. Click Include for each field whose data you want included in binning. Note that only numeric fields will appear in this list.
  7. Click OK to save your settings.